Table of Contents
Journal of Computational Engineering
Volume 2013, Article ID 397096, 6 pages
http://dx.doi.org/10.1155/2013/397096
Research Article

Random Response Forest for Privacy-Preserving Classification

Department of Telecommunications and Media Informatics, BME, Hungary and Inter-University Centre for Telecommunications and Informatics, Kassai str, Debrecen 4028, Hungary

Received 23 April 2013; Revised 25 September 2013; Accepted 3 October 2013

Academic Editor: André Nicolet

Copyright © 2013 Gábor Szűcs. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Gábor Szűcs, “Random Response Forest for Privacy-Preserving Classification,” Journal of Computational Engineering, vol. 2013, Article ID 397096, 6 pages, 2013. https://doi.org/10.1155/2013/397096.